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A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services
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Springer New York LLC
, 2019 , Article)
This papers presents a deep learning-based framework to predict crowdsourced service availability spatially and temporally. A novel two-stage prediction model is introduced based on historical spatio-temporal traces of ...
Detecting Promotion Attacks in the App Market Using Neural Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
App markets play an important role in distributing various apps to mobile users. The app market vendors provide reputation systems to assist users in finding useful and reputable apps by ranking them. Unfortunately, there ...
Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: Application to children with asthma
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BioMed Central Ltd.
, 2019 , Article)
Background: Predictive modeling with longitudinal electronic health record (EHR) data offers great promise for accelerating personalized medicine and better informs clinical decision-making. Recently, deep learning models ...
RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database
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Elsevier B.V.
, 2019 , Article)
The omnipresence of unmanned aerial vehicles, or drones, among civilians can lead to technical, security, and public safety issues that need to be addressed, regulated and prevented. Security agencies are in continuous ...
Glandular structure-guided classification of microscopic colorectal images using deep learning
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Elsevier Ltd
, 2019 , Article)
In this work, we propose to automate the pre-cancerous tissue abnormality analysis by performing the classification of image patches using a novel two-stage convolutional neural network (CNN) based framework. Rather than ...
Fault and performance management in multi-cloud virtual network services using AI: A tutorial and a case study
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Elsevier B.V.
, 2019 , Article)
Carriers find Network Function Virtualization (NFV) and multi-cloud computing a potent combination for deploying their network services. The resulting virtual network services (VNS) offer great flexibility and cost advantages ...
Investigating 3D holoscopic visual content upsampling using super-resolution for cultural heritage digitization
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Elsevier B.V.
, 2019 , Article)
Through this paper, we aim at investigating the impact of using deep learning-based technologies such as super-resolution on Holoscopic 3D (H3D) images. Holoscopic 3D imaging is a technology that aims at providing ...